Distinction of two different non-stationary signals with Hilbert-Huang transform

被引：0

作者：

Han, Qingkai ^{[1
]}

Zhang, Shuai ^{[2
,3
]}

Yang, Yong ^{[2
,3
]}

Qu, Yanhuai ^{[4
]}

Wen, Bangchun ^{[1
]}

机构：

[1] Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110004, Peoples R China

[2] Shenyang Agr Univ, Sch Informat & Elect Engn, Shenyang 110866, Peoples R China

[3] Shenyang Agr Univ, Sch Informat & Elect Engn, Shenyang 201600, Peoples R China

[4] Donghua Univ, Sch Informat Sci & Technol, Shanghai 201600, Peoples R China

来源：

ICMIT 2009: MECHATRONICS AND INFORMATION TECHNOLOGY | 2010年 / 7500卷

关键词：

Non-stationary signals; Hilbert-Huang transform; Empirical mode decompositions; Hilbert spectrum;

D O I：

10.1117/12.858238

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to distinguish the difference of non-stationary signals, the novel time-frequency analysis approach, i.e. Hilbert-Huang transform (HHT), is applied in this paper. Firstly, Hilbert-Huang transform is briefly introduced. Secondly, two different non-stationary signals are described in Empirical Mode Decomposition (EMD) and Hilbert spectra. With these results, the two signals that looked apparently similar in time waves are distinctly different from each other. It is proved that HHT is effective for the purpose of distinction of non-stationary signals.

引用

页数：9

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